CV

Curriculum Vitae

Personal Data

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place of birth: Torino, Italy
date of birth: 13/07/1993
citizenship: Italian
work address: Commissariat à l’Energie Atomique et aux énergies alternatives, DRT/LIST/DIASI/SIALV/LVML, Bât. 861 p. 42, F-91120 Palaiseau, France
research interests: machine learning, artificial intelligence, computer vision, data science, spectroscopy, chemometrics, geometry, field theory

Work Experience

I am a permanent Research Scientist at the Direction de la recherche tecnologique (DRT/LIST/DIASI/SIALV/LVML) for AI applications to physical data.

12/2022 - present: Research Engineer, Commissariat à l’Energie Atomique et aux énergies Alternatives (LVML), Saclay, France.
09/2022 - 12/2022: Postdoctoral Researcher, Commissariat à l’Energie Atomique et aux énergies Alternatives (LVML), Saclay, France.
02/2021 - 08/2022: Postdoctoral Researcher, Commissariat à l’Energie Atomique et aux énergies Alternatives (LANIE and LVML), Saclay, France.
10/2017 - 12/2020: Ph.D. Graduate Researcher, Università degli Studi di Torino, Torino, Italy.
10/2017 - 12/2020: Scientific Associate Researcher, I.N.F.N. - sezione di Torino, Torino, Italy.
10/2018 - 07/2020: Teaching Assistant, Università degli Studi di Torino, Torino, Italy.

Education

I graduated in Physics and Astrophysics on 18th December 2020 with the thesis D-branes and Deep Learning: Theoretical and Computational Aspects In String Theory under the advisory of Prof. Igor Pesando.

10/2017 - 12/2020: Ph.D. Fellowship in Physics and Astrophysics, Università degli Studi di Torino, Torino, Italy.
10/2015 - 10/2017: M.Sc. in Physics, Università degli Studi di Torino, Torino, Italy.
10/2012 - 07/2015: B.Sc. in Physics, Università degli Studi di Torino, Torino, Italy.

Reviewing Activity

2023 - present: Expert for the French National Agency for Research
2022 - present: Referee for Machine Learning: Science and Technology
2022 - present: Referee for Spectrochimica Acta Part B: Atomic Spectroscopy

Organization

06/2023: At the interface of physics, mathematics and artificial intelligence, workshop, Pollica, Italy

Fellowships, Grants and Distinctions

2023: EU funding for the COST Action CA22130 - Comprehensive Multiboson Experiment-Theory Action (COMETA) [member of the Management Committee]
2020: grant as teaching assistant at the Università degli Studi di Torino (6 months, from 01/2020)
2019: student elected in the Department Council as Ph.D. representative
2018: student elected in the Department Council as Ph.D. representative
2017: Ph.D. scholarship assigned by the Università degli Studi di Torino (3 years, from 10/2017)

Coursework and Certifications

12/2020: Reinforcement Learning, U. of Alberta (4 courses via Coursera.org - credential ID: X6QTKFZDEGB2)
10/2020: Data Science Specialization, John Hopkins U. (10 courses via Coursera.org - credential ID: QDGGFSKG8VVS)
06/2020: AI for Medicine, deeplearning.ai (3 courses via Coursera.org - credential ID: ZXW8Y3UU4UCY)
05/2020: Deep Learning, deeplearning.ai (5 courses via Coursera.org - credential ID: N2FWFZ9W42V2)
04/2020: Machine Learning, U. of Standford (1 course via Coursera.org - credential ID: SDLSE9NP4XMH)

Summer and Winter Schools

07/2021: IDAI 2021 - First Inria-DFKI European Summer School on AI, online
12/2018: LACES 2018 – Lezioni Avanzate di Campi e Stringhe, Firenze, Italy
01/2018: GGI Lectures on the Theory of Fundamental Interactions, Firenze, Italy
12/2017: LACES 2017 – Lezioni Avanzate di Campi e Stringhe, Firenze, Italy

Publications

Functional renormalization group for signal detection and stochastic ergodicity breaking

H. Erbin, R. Finotello, B. W. Kpera, V. Lahoche, D. Ousmane Samary. 'Functional renormalization group for signal detection and stochastic ergodicity breaking'. arXiv:2310.07499.

Deep Learning Complete Intersection Calabi–Yau Manifolds

H. Erbin, R. Finotello, Deep Learning Complete Intersection Calabi–Yau Manifolds. In Machine Learning in Pure Mathematics and Theoretical Physics, World Scientific, pp. 151-181 (2023), edited by Y.-H. He

Interlaboratory comparison for quantitative chlorine analysis in cement pastes with laser induced breakdown spectroscopy

T. Völker et al. 'Interlaboratory comparison for quantitative chlorine analysis in cement pastes with laser induced breakdown spectroscopy'. Spectrochim. Acta B, 202, 106632.

Deep Learning Complete Intersection Calabi–Yau Manifolds

H. Erbin, R. Finotello, 'Deep Learning Complete Intersection Calabi–Yau Manifolds', in Machine Learning in Pure Mathematics and Theoretical Physics, pp. 151-181 (2023), World Scientific, edited by Y.-H. He.

Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning

R. Finotello, D. L'Hermite, C. Quéré, B. Rouge, M. Tamaazousti, J.-B. Sirven. 'Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning'. arXiv:2210.03762.

HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials

R. Finotello, M. Tamaazousti, J.-B. Sirven. 'HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials'. Spectrochim. Acta B: At. Spectrosc., 192 (2022), 106418.

Deep Multi-task Mining Calabi-Yau Four-folds

H. Erbin, R. Finotello, R. Schneider, M. Tamaazousti. 'Deep Multi-task Mining Calabi-Yau Four-folds'. Mach. Learn.: Sci. Technol. 3 01500.

2D Fermion on the Strip with Boundary Defects as a CFT with Excited Spin Fields

R. Finotello, I. Pesando. '2D Fermion on the Strip with Boundary Defects as a CFT with Excited Spin Fields'. Nucl.Phys.B 969 (2021) 115464

Machine Learning for Complete Intersection Calabi-Yau Manifolds: a Methodological Study

H. Erbin, R. Finotello. 'Machine Learning for Complete Intersection Calabi-Yau Manifolds: a Methodological Study'. Phys.Rev.D 103 (2021) 12, 126014

Inception Neural Network for Complete Intersection Calabi–Yau 3-folds

H. Erbin, R. Finotello. 'Inception Neural Network for Complete Intersection Calabi-Yau 3-folds'. Mach. Learn.: Sci. Technol. 2 02LT03.

On the Origin of Divergences in Time-dependent Orbifolds

A. Arduino, R. Finotello, I. Pesando. 'On the Origin of Divergences in Time-dependent Orbifolds'. Eur. Phys. J. C 80 (2020), p. 476.

The Classical Solution for the Bosonic String in the Presence of three D-branes Rotated by Arbitrary SO(4) Elements

R. Finotello, I. Pesando. 'The Classical Solution for the Bosonic String in the Presence of three D-branes Rotated by Arbitrary SO(4) Elements'. Nucl. Phys. B 941 (2019), pp. 158-194.

Talks and Seminars

HyperPCA : à l’interface entre la théorie des matrices aléatoires et la spectroscopie du plasma induit par laser

July 05, 2023

Talk at SFPT-GH 2023, Paris, France

Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning

June 13, 2023

Poster at ANIMMA 2023, Lucca, Italy

Sparse Representations and Kernel-based PCA: Powerful Tools to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials

November 30, 2021

Talk at EMSLIBS 2021, Online session

Language Skills

Italian: native speaker
English: proficient user (certifications: FCE pass with A, EFCELT at level C2)
French: current level

IT Skills

programming languages: Python, R, C++, ROOT, PHP, Javascript, SQL, bash, Matlab/Octave, Maxima, Wolfram Language, Java
markup languages: HTML, Markdown, RMarkdown
operating systems: Ubuntu (main distribution), Arch Linux, Debian, CentOS, Microsoft Windows
shells: bash, zsh, PowerShell
deep learning ecosystem: Detectron2, PyTorch, PyTorch Geometric, PyTorch Lightning, JAX, Tensorflow, Keras, Optuna, Scikit-optimize
data analysis ecosystem: Scipy/Numpy/Sympy ecosystem, Pandas, Statsmodels, Scikit-learn, LightGBM, XGBoost, Tidyr, Caret, Leaflet, Plotly, GMP, MPFR
visualization: Matplotlib, Seaborn, Plotly, Open3D, Tensorboard, Tidyr, Caret, Leaflet
frameworks: Jupyter Lab and Notebook, RStudio, wxMaxima, Mathematica for scientific programming; VIM (with plugins), Eclipse for software developments; Git for version control; GitBook for documentation
system administration: personal instance of Nextcloud on a Raspberry Pi server (Raspbian OS), administration and web design of the journal club webpage (https://torinophd.ddns.net/) on a Raspberry Pi Apache+PHP+MariaDB installation (GitHub)
other certifications: ECDL Core Full (European Computer Driving Licence, 04/2012)

Riccardo Finotello

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